Sentence examples for estimate can be approximated from inspiring English sources

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The standard error of the ratio estimate can be approximated using the delta method; the leading term is [Thomas et al., 2007].

The maximum likelihood estimate (MLE) for π is Y ¯ (the average of the Yi's), and the variance of this estimate can be approximated by the formula Y ¯ (1 − Y ¯ ) / n (Hogg RV, Craig AT, 1995).

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Using nationwide AES data, for example, national JE incidence estimates can be approximated.

Realistic estimates can be approximated by using cancer registry data and expert input.

The sampling variance of the parameter estimates can be approximated by using a Taylor series expansion in r ij because these deviations are small, and then taking expectations so as to obtain Fisher's information matrix S (the inverse of the variance covariance matrix) for the REML estimates of variance components σ ^ A 2 and σ ^ W 2, respectively.

"Trajectory estimates can be approximate and we've seen incorrect trajectory estimations in the past," said Jeffrey Lewis, another nuclear nonproliferation expert at MIIS. .

Assuming that the channel estimation error is small, the pseudo-inverse of the estimated matrix can be approximated by the linear part of the Taylor expansion as[8]: H ̂ t # = H # − H # Δ H t H # + H H H Δ H Δ H t I M − HH #. (2).

In comparison, the expression of the LR for a Laplacian distribution model (15), as well as the expression of the proposed test with estimates (21) can be approximated by (see details in Appendix B): frac{RDelta}{2b} (k-bar{k}) text{sign}(Delta k -mu) = overbrace{; w_{b} ;};;overbrace{;;; pm 1 ;;;};;; overbrace{text{sign}(Delta k -mu) } (29).

The point estimates of the slopes are greater than 0.9 for all four indicators; and assuming they are equal to "1", the odds ratios of the two prevalence estimates, WHO vs. NCHS, can be approximated by the exponential function of the intercept, i.e., exp [intercept], which are 0.84, 1.24, 1.03 and 1.26 for underweight, stunting, wasting and overweight, respectively.

The conditional probability can be approximated by estimating the probability only on the preceding N−1 words defined by the following formula: P(W) = P(w_{1} prodlimits_{i=1}^{n} P(w_{i}|w_{i-N+1},ldots,w_{i-1}) (12).

We show that network estimates for single pairwise treatment comparisons can be approximated by the evidence of a subnet that is decomposable into independent paths.

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